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https://aclanthology.org/2023.emnlp-main.401.bib
https://aclanthology.org/2023.emnlp-main.401/
@inproceedings{weissweiler-etal-2023-counting, title = "Counting the Bugs in {C}hat{GPT}{'}s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model", author = "Weissweiler, Leonie and Hofmann, Valentin and Kantharuban, Anjali and Cai, Anna and ...
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills. However, there have been relatively few systematic inquiries into the linguistic capabilities of the latest generation of LLMs, and those studies that do exist (i) ignore th...
[ "Weissweiler, Leonie", "Hofmann, Valentin", "Kantharuban, Anjali", "Cai, Anna", "Dutt, Ritam", "Hengle, Amey", "Kabra, Anubha", "Kulkarni, Atharva", "Vijayakumar, Abhishek", "Yu, Haofei", "Schuetze, Hinrich", "Oflazer, Kemal", "Mortensen, David" ]
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
emnlp-main.401
2310.15113
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.402.bib
https://aclanthology.org/2023.emnlp-main.402/
@inproceedings{long-etal-2023-adapt, title = "Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning", author = "Long, Quanyu and Wang, Wenya and Pan, Sinno", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the ...
Large language models (LLMs) have showcased their capability with few-shot inference known as in-context learning. However, in-domain demonstrations are not always readily available in real scenarios, leading to cross-domain in-context learning. Besides, LLMs are still facing challenges in long-tail knowledge in unseen...
[ "Long, Quanyu", "Wang, Wenya", "Pan, Sinno" ]
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
emnlp-main.402
2311.11551
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.403.bib
https://aclanthology.org/2023.emnlp-main.403/
@inproceedings{brown-etal-2023-understanding, title = "Understanding the Inner-workings of Language Models Through Representation Dissimilarity", author = "Brown, Davis and Godfrey, Charles and Konz, Nicholas and Tu, Jonathan and Kvinge, Henry", editor = "Bouamor, Houda and ...
As language models are applied to an increasing number of real-world applications, understanding their inner workings has become an important issue in model trust, interpretability, and transparency. In this work we show that representation dissimilarity measures, which are functions that measure the extent to which tw...
[ "Brown, Davis", "Godfrey, Charles", "Konz, Nicholas", "Tu, Jonathan", "Kvinge, Henry" ]
Understanding the Inner-workings of Language Models Through Representation Dissimilarity
emnlp-main.403
2310.14993
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.404.bib
https://aclanthology.org/2023.emnlp-main.404/
@inproceedings{lu-etal-2023-efficient, title = "Efficient Classification of Long Documents via State-Space Models", author = "Lu, Peng and Wang, Suyuchen and Rezagholizadeh, Mehdi and Liu, Bang and Kobyzev, Ivan", editor = "Bouamor, Houda and Pino, Juan and Bali, Ka...
Transformer-based models have achieved state-of-the-art performance on numerous NLP applications. However, long documents which are prevalent in real-world scenarios cannot be efficiently processed by transformers with the vanilla self-attention module due to their quadratic computation complexity and limited length ex...
[ "Lu, Peng", "Wang, Suyuchen", "Rezagholizadeh, Mehdi", "Liu, Bang", "Kobyzev, Ivan" ]
Efficient Classification of Long Documents via State-Space Models
emnlp-main.404
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.405.bib
https://aclanthology.org/2023.emnlp-main.405/
@inproceedings{shi-etal-2023-dual, title = "Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems", author = "Shi, Tianyuan and Li, Liangzhi and Lin, Zijian and Yang, Tao and Quan, Xiaojun and Wang, Qifan", editor = "Bouamor, Houda and Pino, Juan and...
Efficient knowledge retrieval plays a pivotal role in ensuring the success of end-to-end task-oriented dialogue systems by facilitating the selection of relevant information necessary to fulfill user requests. However, current approaches generally integrate knowledge retrieval and response generation, which poses scala...
[ "Shi, Tianyuan", "Li, Liangzhi", "Lin, Zijian", "Yang, Tao", "Quan, Xiaojun", "Wang, Qifan" ]
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems
emnlp-main.405
2310.14528
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.406.bib
https://aclanthology.org/2023.emnlp-main.406/
@inproceedings{boisson-etal-2023-construction, title = "Construction Artifacts in Metaphor Identification Datasets", author = "Boisson, Joanne and Espinosa-Anke, Luis and Camacho-Collados, Jose", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedi...
Metaphor identification aims at understanding whether a given expression is used figuratively in context. However, in this paper we show how existing metaphor identification datasets can be gamed by fully ignoring the potential metaphorical expression or the context in which it occurs. We test this hypothesis in a vari...
[ "Boisson, Joanne", "Espinosa-Anke, Luis", "Camacho-Collados, Jose" ]
Construction Artifacts in Metaphor Identification Datasets
emnlp-main.406
2311.00790
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.407.bib
https://aclanthology.org/2023.emnlp-main.407/
@inproceedings{nathani-etal-2023-maf, title = "{MAF}: Multi-Aspect Feedback for Improving Reasoning in Large Language Models", author = "Nathani, Deepak and Wang, David and Pan, Liangming and Wang, William", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", bo...
Language Models (LMs) have shown impressive performance in various natural language tasks. However, when it comes to natural language reasoning, LMs still face challenges such as hallucination, generating incorrect intermediate reasoning steps, and making mathematical errors. Recent research has focused on enhancing LM...
[ "Nathani, Deepak", "Wang, David", "Pan, Liangming", "Wang, William" ]
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
emnlp-main.407
2310.12426
[ "https://github.com/deepakn97/maf" ]
https://huggingface.co/papers/2310.12426
0
1
0
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.408.bib
https://aclanthology.org/2023.emnlp-main.408/
@inproceedings{shi-etal-2023-granularity, title = "Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain {CT} Report Generation", author = "Shi, Yanzhao and Ji, Junzhong and Zhang, Xiaodan and Qu, Liangqiong and Liu, Ying", editor = "Bouamor, Houda and ...
The automatic Brain CT reports generation can improve the efficiency and accuracy of diagnosing cranial diseases. However, current methods are limited by 1) coarse-grained supervision: the training data in image-text format lacks detailed supervision for recognizing subtle abnormalities, and 2) coupled cross-modal alig...
[ "Shi, Yanzhao", "Ji, Junzhong", "Zhang, Xiaodan", "Qu, Liangqiong", "Liu, Ying" ]
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation
emnlp-main.408
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.409.bib
https://aclanthology.org/2023.emnlp-main.409/
@inproceedings{wu-etal-2023-enhancing, title = "Enhancing Structured Evidence Extraction for Fact Verification", author = "Wu, Zirui and Hu, Nan and Feng, Yansong", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on E...
Open-domain fact verification is the task of verifying claims in natural language texts against extracted evidence. FEVEROUS is a benchmark that requires extracting and integrating both unstructured and structured evidence to verify a given claim. Previous models suffer from low recall of structured evidence extraction...
[ "Wu, Zirui", "Hu, Nan", "Feng, Yansong" ]
Enhancing Structured Evidence Extraction for Fact Verification
emnlp-main.409
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.410.bib
https://aclanthology.org/2023.emnlp-main.410/
@inproceedings{wu-etal-2023-rethinking-model, title = "Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models", author = "Wu, Di and Ahmad, Wasi and Chang, Kai-Wei", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Keyphrase Generation (KPG) is a longstanding task in NLP with widespread applications. The advent of sequence-to-sequence (seq2seq) pre-trained language models (PLMs) has ushered in a transformative era for KPG, yielding promising performance improvements. However, many design decisions remain unexplored and are often ...
[ "Wu, Di", "Ahmad, Wasi", "Chang, Kai-Wei" ]
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
emnlp-main.410
2310.06374
[ "https://github.com/uclanlp/deepkpg" ]
https://huggingface.co/papers/2310.06374
1
0
0
3
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.411.bib
https://aclanthology.org/2023.emnlp-main.411/
@inproceedings{bast-etal-2023-fair, title = "A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems", author = "Bast, Hannah and Hertel, Matthias and Prange, Natalie", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of...
Existing evaluations of entity linking systems often say little about how the system is going to perform for a particular application. There are two fundamental reasons for this. One is that many evaluations only use aggregate measures (like precision, recall, and F1 score), without a detailed error analysis or a close...
[ "Bast, Hannah", "Hertel, Matthias", "Prange, Natalie" ]
A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
emnlp-main.411
2305.14937
[ "https://github.com/ad-freiburg/fair-entity-linking-benchmarks" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.412.bib
https://aclanthology.org/2023.emnlp-main.412/
@inproceedings{wu-etal-2023-multi-task, title = "A Multi-Task Dataset for Assessing Discourse Coherence in {C}hinese Essays: Structure, Theme, and Logic Analysis", author = "Wu, Hongyi and Shen, Xinshu and Lan, Man and Mao, Shaoguang and Bai, Xiaopeng and Wu, Yuanbin", edi...
This paper introduces the \textbf{C}hinese \textbf{E}ssay \textbf{D}iscourse \textbf{C}oherence \textbf{C}orpus (\textbf{CEDCC}), a multi-task dataset for assessing discourse coherence. Existing research tends to focus on isolated dimensions of discourse coherence, a gap which the CEDCC addresses by integrating coheren...
[ "Wu, Hongyi", "Shen, Xinshu", "Lan, Man", "Mao, Shaoguang", "Bai, Xiaopeng", "Wu, Yuanbin" ]
A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis
emnlp-main.412
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.413.bib
https://aclanthology.org/2023.emnlp-main.413/
@inproceedings{chen-he-2023-skd, title = "{SKD}-{NER}: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning", author = "Chen, Yi and He, Liang", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the...
Continual learning for named entity recognition (CL-NER) aims to enable models to continuously learn new entity types while retaining the ability to recognize previously learned ones. However, the current strategies fall short of effectively addressing the catastrophic forgetting of previously learned entity types. To ...
[ "Chen, Yi", "He, Liang" ]
SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning
emnlp-main.413
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.414.bib
https://aclanthology.org/2023.emnlp-main.414/
@inproceedings{qin-etal-2023-lifelong, title = "Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation", author = "Qin, Chengwei and Chen, Chen and Joty, Shafiq", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 202...
Lifelong sequence generation (LSG), a problem in continual learning, aims to continually train a model on a sequence of generation tasks to learn constantly emerging new generation patterns while avoiding the forgetting of previous knowledge. Existing LSG methods mainly focus on maintaining old knowledge while paying l...
[ "Qin, Chengwei", "Chen, Chen", "Joty, Shafiq" ]
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
emnlp-main.414
2310.09886
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.415.bib
https://aclanthology.org/2023.emnlp-main.415/
@inproceedings{fleisig-etal-2023-majority, title = "When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks", author = "Fleisig, Eve and Abebe, Rediet and Klein, Dan", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings...
Though majority vote among annotators is typically used for ground truth labels in machine learning, annotator disagreement in tasks such as hate speech detection may reflect systematic differences in opinion across groups, not noise. Thus, a crucial problem in hate speech detection is determining if a statement is off...
[ "Fleisig, Eve", "Abebe, Rediet", "Klein, Dan" ]
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
emnlp-main.415
2305.06626
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.416.bib
https://aclanthology.org/2023.emnlp-main.416/
@inproceedings{hemmer-etal-2023-lazy, title = "Lazy-k Decoding: Constrained Decoding for Information Extraction", author = "Hemmer, Arthur and Coustaty, Mickael and Bartolo, Nicola and Brachat, Jerome and Ogier, Jean-marc", editor = "Bouamor, Houda and Pino, Juan and ...
We explore the possibility of improving probabilistic models in structured prediction. Specifically, we combine the models with constrained decoding approaches in the context of token classification for information extraction. The decoding methods search for constraint-satisfying label-assignments while maximizing the ...
[ "Hemmer, Arthur", "Coustaty, Mickael", "Bartolo, Nicola", "Brachat, Jerome", "Ogier, Jean-marc" ]
Lazy-k Decoding: Constrained Decoding for Information Extraction
emnlp-main.416
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.417.bib
https://aclanthology.org/2023.emnlp-main.417/
@inproceedings{chen-etal-2023-personalized, title = "Personalized Distillation: Empowering Open-Sourced {LLM}s with Adaptive Learning for Code Generation", author = "Chen, Hailin and Saha, Amrita and Hoi, Steven and Joty, Shafiq", editor = "Bouamor, Houda and Pino, Juan and ...
With the rise of powerful closed-sourced LLMs (ChatGPT, GPT-4), there are increasing interests in distilling the capabilies of close-sourced LLMs to smaller open-sourced LLMs. Previous distillation methods usually prompt ChatGPT to generate a set of instructions and answers, for the student model to learn. However, suc...
[ "Chen, Hailin", "Saha, Amrita", "Hoi, Steven", "Joty, Shafiq" ]
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
emnlp-main.417
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.418.bib
https://aclanthology.org/2023.emnlp-main.418/
@inproceedings{jain-etal-2023-language-models, title = "Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models", author = "Jain, Raghav and Sojitra, Daivik and Acharya, Arkadeep and Saha, Sriparna and Jatow...
Temporal reasoning represents a vital component of human communication and understanding, yet remains an underexplored area within the context of Large Language Models (LLMs). Despite LLMs demonstrating significant proficiency in a range of tasks, a comprehensive, large-scale analysis of their temporal reasoning capabi...
[ "Jain, Raghav", "Sojitra, Daivik", "Acharya, Arkadeep", "Saha, Sriparna", "Jatowt, Adam", "D", "apat, S", "ipan" ]
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
emnlp-main.418
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.419.bib
https://aclanthology.org/2023.emnlp-main.419/
@inproceedings{havaldar-etal-2023-comparing, title = "Comparing Styles across Languages", author = "Havaldar, Shreya and Pressimone, Matthew and Wong, Eric and Ungar, Lyle", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023...
Understanding how styles differ across languages is advantageous for training both humans and computers to generate culturally appropriate text. We introduce an explanation framework to extract stylistic differences from multilingual LMs and compare styles across languages. Our framework (1) generates comprehensive sty...
[ "Havaldar, Shreya", "Pressimone, Matthew", "Wong, Eric", "Ungar, Lyle" ]
Comparing Styles across Languages
emnlp-main.419
2310.07135
[ "https://github.com/shreyahavaldar/multilingual_politeness" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.420.bib
https://aclanthology.org/2023.emnlp-main.420/
@inproceedings{liu-etal-2023-event, title = "Event Causality Extraction via Implicit Cause-Effect Interactions", author = "Liu, Jintao and Zhang, Zequn and Wei, Kaiwen and Guo, Zhi and Sun, Xian and Jin, Li and Li, Xiaoyu", editor = "Bouamor, Houda and Pino, ...
Event Causality Extraction (ECE) aims to extract the cause-effect event pairs from the given text, which requires the model to possess a strong reasoning ability to capture event causalities. However, existing works have not adequately exploited the interactions between the cause and effect event that could provide cru...
[ "Liu, Jintao", "Zhang, Zequn", "Wei, Kaiwen", "Guo, Zhi", "Sun, Xian", "Jin, Li", "Li, Xiaoyu" ]
Event Causality Extraction via Implicit Cause-Effect Interactions
emnlp-main.420
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.421.bib
https://aclanthology.org/2023.emnlp-main.421/
@inproceedings{deas-etal-2023-evaluation, title = "Evaluation of {A}frican {A}merican Language Bias in Natural Language Generation", author = "Deas, Nicholas and Grieser, Jessica and Kleiner, Shana and Patton, Desmond and Turcan, Elsbeth and McKeown, Kathleen", editor = "B...
While biases disadvantaging African American Language (AAL) have been uncovered in models for tasks such as speech recognition and toxicity detection, there has been little investigation of these biases for language generation models like ChatGPT. We evaluate how well LLMs understand AAL in comparison to White Mainstre...
[ "Deas, Nicholas", "Grieser, Jessica", "Kleiner, Shana", "Patton, Desmond", "Turcan, Elsbeth", "McKeown, Kathleen" ]
Evaluation of African American Language Bias in Natural Language Generation
emnlp-main.421
2305.14291
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.422.bib
https://aclanthology.org/2023.emnlp-main.422/
@inproceedings{hu-etal-2023-systematic, title = "A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems", author = "Hu, Songbo and Zhou, Han and Yuan, Moy and Gritta, Milan and Zhang, Guchun and Iacobacci, Ignacio and Korhonen, Anna...
Achieving robust language technologies that can perform well across the world{'}s many languages is a central goal of multilingual NLP. In this work, we take stock of and empirically analyse task performance disparities that exist between multilingual task-oriented dialogue (ToD) systems. We first define new quantitati...
[ "Hu, Songbo", "Zhou, Han", "Yuan, Moy", "Gritta, Milan", "Zhang, Guchun", "Iacobacci, Ignacio", "Korhonen, Anna", "Vuli{\\'c}, Ivan" ]
A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems
emnlp-main.422
2310.12892
[ "" ]
https://huggingface.co/papers/2310.12892
1
0
0
8
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.423.bib
https://aclanthology.org/2023.emnlp-main.423/
@inproceedings{akavarapu-bhattacharya-2023-cognate, title = "Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction", author = "Akavarapu, V.S.D.S.Mahesh and Bhattacharya, Arnab", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktit...
Phonological reconstruction is one of the central problems in historical linguistics where a proto-word of an ancestral language is determined from the observed cognate words of daughter languages. Computational approaches to historical linguistics attempt to automate the task by learning models on available linguistic...
[ "Akavarapu, V.S.D.S.Mahesh", "Bhattacharya, Arnab" ]
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction
emnlp-main.423
2310.07487
[ "https://github.com/mahesh-ak/cognatetransformer" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.424.bib
https://aclanthology.org/2023.emnlp-main.424/
@inproceedings{lu-etal-2023-inference, title = "Inference-Time Policy Adapters ({IPA}): Tailoring Extreme-Scale {LM}s without Fine-tuning", author = "Lu, Ximing and Brahman, Faeze and West, Peter and Jung, Jaehun and Chandu, Khyathi and Ravichander, Abhilasha and Ammana...
While extreme-scale language models have demonstrated exceptional performance on a variety of language tasks, the degree of control over these language models through pure prompting can often be limited. Directly fine-tuning such language models can be effective for tailoring them, but it can be either extremely costly...
[ "Lu, Ximing", "Brahman, Faeze", "West, Peter", "Jung, Jaehun", "Ch", "u, Khyathi", "Ravich", "er, Abhilasha", "Ammanabrolu, Prithviraj", "Jiang, Liwei", "Ramnath, Sahana", "Dziri, Nouha", "Fisher, Jillian", "Lin, Bill", "Hallinan, Skyler", "Qin, Lianhui", "Ren, Xiang", "Welleck, Se...
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
emnlp-main.424
2305.15065
[ "https://github.com/gximinglu/ipa" ]
https://huggingface.co/papers/2305.15065
2
1
0
17
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.425.bib
https://aclanthology.org/2023.emnlp-main.425/
@inproceedings{lee-etal-2023-weakly, title = "Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering", author = "Lee, Kang-il and Kim, Segwang and Jung, Kyomin", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of...
The problem of spurious programs is a longstanding challenge when training a semantic parser from weak supervision. To eliminate such programs that have wrong semantics but correct denotation, existing methods focus on exploiting similarities between examples based on domain-specific knowledge. In this paper, we propos...
[ "Lee, Kang-il", "Kim, Segwang", "Jung, Kyomin" ]
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
emnlp-main.425
2311.01161
[ "https://github.com/klee972/exec-filter" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.426.bib
https://aclanthology.org/2023.emnlp-main.426/
@inproceedings{k-etal-2023-taxonomy, title = "Taxonomy Expansion for Named Entity Recognition", author = "K, Karthikeyan and Vyas, Yogarshi and Ma, Jie and Paolini, Giovanni and John, Neha and Wang, Shuai and Benajiba, Yassine and Castelli, Vittorio and Ro...
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to re-annotate entire dataset with both existing and additional entity types and then train the model ...
[ "K, Karthikeyan", "Vyas, Yogarshi", "Ma, Jie", "Paolini, Giovanni", "John, Neha", "Wang, Shuai", "Benajiba, Yassine", "Castelli, Vittorio", "Roth, Dan", "Ballesteros, Miguel" ]
Taxonomy Expansion for Named Entity Recognition
emnlp-main.426
2305.13191
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.427.bib
https://aclanthology.org/2023.emnlp-main.427/
@inproceedings{eberle-etal-2023-rather, title = "Rather a Nurse than a Physician - Contrastive Explanations under Investigation", author = "Eberle, Oliver and Chalkidis, Ilias and Cabello, Laura and Brandl, Stephanie", editor = "Bouamor, Houda and Pino, Juan and Bali, Kali...
Contrastive explanations, where one decision is explained *in contrast to another*, are supposed to be closer to how humans explain a decision than non-contrastive explanations, where the decision is not necessarily referenced to an alternative. This claim has never been empirically validated. We analyze four English t...
[ "Eberle, Oliver", "Chalkidis, Ilias", "Cabello, Laura", "Br", "l, Stephanie" ]
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
emnlp-main.427
2310.11906
[ "" ]
https://huggingface.co/papers/2310.11906
1
1
0
4
[]
[ "coastalcph/medical-bios" ]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.428.bib
https://aclanthology.org/2023.emnlp-main.428/
@inproceedings{dwivedi-etal-2023-eticor, title = "{E}ti{C}or: Corpus for Analyzing {LLM}s for Etiquettes", author = "Dwivedi, Ashutosh and Lavania, Pradhyumna and Modi, Ashutosh", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 ...
Etiquettes are an essential ingredient of day-to-day interactions among people. Moreover, etiquettes are region-specific, and etiquettes in one region might contradict those in other regions. In this paper, we propose EtiCor, an Etiquettes Corpus, having texts about social norms from five different regions across the g...
[ "Dwivedi, Ashutosh", "Lavania, Pradhyumna", "Modi, Ashutosh" ]
EtiCor: Corpus for Analyzing LLMs for Etiquettes
emnlp-main.428
2310.18974
[ "https://github.com/exploration-lab/eticor" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.429.bib
https://aclanthology.org/2023.emnlp-main.429/
@inproceedings{qi-etal-2023-investigation, title = "An Investigation of {LLM}s{'} Inefficacy in Understanding Converse Relations", author = "Qi, Chengwen and Li, Bowen and Hui, Binyuan and Wang, Bailin and Li, Jinyang and Wu, Jinwang and Laili, Yuanjun", editor = "B...
Large Language Models (LLMs) have achieved remarkable success in many formal language oriented tasks, such as structural data-to-text and semantic parsing. However current benchmarks mostly follow the data distribution of the pre-training data of LLMs. Therefore, a natural question rises that do LLMs really understand ...
[ "Qi, Chengwen", "Li, Bowen", "Hui, Binyuan", "Wang, Bailin", "Li, Jinyang", "Wu, Jinwang", "Laili, Yuanjun" ]
An Investigation of LLMs' Inefficacy in Understanding Converse Relations
emnlp-main.429
2310.05163
[ "https://github.com/3b-group/convre" ]
https://huggingface.co/papers/2310.05163
1
0
0
7
[]
[]
[ "3B-Group/ConvRe-Leaderboard" ]
1
Poster
https://aclanthology.org/2023.emnlp-main.430.bib
https://aclanthology.org/2023.emnlp-main.430/
@inproceedings{wang-etal-2023-towards-low, title = "Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models", author = "Wang, Weishi and Wang, Yue and Hoi, Steven and Joty, Shafiq", editor = "Bouamor, Houda and Pino, Juan and Bali, K...
Automatic program repair (APR) has gained increasing attention as an essential technique in software development to reduce manual debugging efforts and boost developers{'} productivity. Recent advances in deep learning (DL) based models have demonstrated promising results by learning from large-scale bug-fix examples i...
[ "Wang, Weishi", "Wang, Yue", "Hoi, Steven", "Joty, Shafiq" ]
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models
emnlp-main.430
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.431.bib
https://aclanthology.org/2023.emnlp-main.431/
@inproceedings{rathore-etal-2023-zgul, title = "{ZGUL}: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters", author = "Rathore, Vipul and Dhingra, Rajdeep and Singla, Parag and {Mausam}", editor = "Bouamor, Houda and Pino, Juan and ...
We tackle the problem of zero-shot cross-lingual transfer in NLP tasks via the use of language adapters (LAs). Most of the earlier works have explored training with adapter of a single source (often English), and testing either using the target LA or LA of another related language. Training target LA requires unlabeled...
[ "Rathore, Vipul", "Dhingra, Rajdeep", "Singla, Parag", "{Mausam}" ]
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters
emnlp-main.431
2310.16393
[ "https://github.com/dair-iitd/zgul" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.432.bib
https://aclanthology.org/2023.emnlp-main.432/
@inproceedings{han-etal-2023-log, title = "Log-{FGAER}: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue", author = "Han, Xue and Wang, Yitong and Hu, Qian and Hu, Pengwei and Deng, Chao and Feng, Junlan", editor = "Bouamor, Houda and ...
Fine-grained address entity recognition (FGAER) from multi-turn spoken dialogues is particularly challenging. The major reason lies in that a full address is often formed through a conversation process. Different parts of an address are distributed through multiple turns of a dialogue with spoken noises. It is nontrivi...
[ "Han, Xue", "Wang, Yitong", "Hu, Qian", "Hu, Pengwei", "Deng, Chao", "Feng, Junlan" ]
Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue
emnlp-main.432
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.433.bib
https://aclanthology.org/2023.emnlp-main.433/
@inproceedings{das-etal-2023-unified, title = "Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning", author = "Das, Sarkar Snigdha Sarathi and Zhang, Haoran and Shi, Peng and Yin, Wenpeng and Zhang, Rui", editor = "Bouamor, Houda and Pino, Juan...
Unified Sequence Labeling that articulates different sequence labeling problems such as Named Entity Recognition, Relation Extraction, Semantic Role Labeling, etc. in a generalized sequence-to-sequence format opens up the opportunity to make the maximum utilization of large language model knowledge toward structured pr...
[ "Das, Sarkar Snigdha Sarathi", "Zhang, Haoran", "Shi, Peng", "Yin, Wenpeng", "Zhang, Rui" ]
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
emnlp-main.433
2311.03748
[ "https://github.com/psunlpgroup/fish-dip" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.434.bib
https://aclanthology.org/2023.emnlp-main.434/
@inproceedings{nowak-etal-2023-representational, title = "On the Representational Capacity of Recurrent Neural Language Models", author = "Nowak, Franz and Svete, Anej and Du, Li and Cotterell, Ryan", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle...
This work investigates the computational expressivity of language models (LMs) based on recurrent neural networks (RNNs). Siegelmann and Sontag (1992) famously showed that RNNs with rational weights and hidden states and unbounded computation time are Turing complete. However, LMs define weightings over strings in addi...
[ "Nowak, Franz", "Svete, Anej", "Du, Li", "Cotterell, Ryan" ]
On the Representational Capacity of Recurrent Neural Language Models
emnlp-main.434
2310.12942
[ "https://github.com/rycolab/rnn-turing-completeness" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.435.bib
https://aclanthology.org/2023.emnlp-main.435/
@inproceedings{stolfo-etal-2023-mechanistic, title = "A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis", author = "Stolfo, Alessandro and Belinkov, Yonatan and Sachan, Mrinmaya", editor = "Bouamor, Houda and Pino, Juan and Ba...
Mathematical reasoning in large language models (LMs) has garnered significant attention in recent work, but there is a limited understanding of how these models process and store information related to arithmetic tasks within their architecture. In order to improve our understanding of this aspect of language models, ...
[ "Stolfo, Aless", "ro", "Belinkov, Yonatan", "Sachan, Mrinmaya" ]
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis
emnlp-main.435
2305.15054
[ "https://github.com/alestolfo/lm-arithmetic" ]
https://huggingface.co/papers/2305.15054
0
0
0
3
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.436.bib
https://aclanthology.org/2023.emnlp-main.436/
@inproceedings{bhaskar-etal-2023-benchmarking, title = "Benchmarking and Improving Text-to-{SQL} Generation under Ambiguity", author = "Bhaskar, Adithya and Tomar, Tushar and Sathe, Ashutosh and Sarawagi, Sunita", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Research in Text-to-SQL conversion has been largely benchmarked against datasets where each text query corresponds to one correct SQL. However, natural language queries over real-life databases frequently involve significant ambiguity about the intended SQL due to overlapping schema names and multiple confusing relatio...
[ "Bhaskar, Adithya", "Tomar, Tushar", "Sathe, Ashutosh", "Sarawagi, Sunita" ]
Benchmarking and Improving Text-to-SQL Generation under Ambiguity
emnlp-main.436
2310.13659
[ "https://github.com/testzer0/ambiqt" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.437.bib
https://aclanthology.org/2023.emnlp-main.437/
@inproceedings{zhang-etal-2023-non, title = "Non-autoregressive Text Editing with Copy-aware Latent Alignments", author = "Zhang, Yu and Zhang, Yue and Cui, Leyang and Fu, Guohong", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of ...
Recent work has witnessed a paradigm shift from Seq2Seq to Seq2Edit in the field of text editing, with the aim of addressing the slow autoregressive inference problem posed by the former. Despite promising results, Seq2Edit approaches still face several challenges such as inflexibility in generation and difficulty in g...
[ "Zhang, Yu", "Zhang, Yue", "Cui, Leyang", "Fu, Guohong" ]
Non-autoregressive Text Editing with Copy-aware Latent Alignments
emnlp-main.437
2310.07821
[ "https://github.com/yzhangcs/ctc-copy" ]
https://huggingface.co/papers/2310.07821
2
0
0
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.438.bib
https://aclanthology.org/2023.emnlp-main.438/
@inproceedings{jalota-etal-2023-translating, title = "Translating away Translationese without Parallel Data", author = "Jalota, Rricha and Chowdhury, Koel and Espa{\~n}a-Bonet, Cristina and van Genabith, Josef", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Translated texts exhibit systematic linguistic differences compared to original texts in the same language, and these differences are referred to as translationese. Translationese has effects on various cross-lingual natural language processing tasks, potentially leading to biased results. In this paper, we explore a n...
[ "Jalota, Rricha", "Chowdhury, Koel", "Espa{\\~n}a-Bonet, Cristina", "van Genabith, Josef" ]
Translating away Translationese without Parallel Data
emnlp-main.438
2310.18830
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.439.bib
https://aclanthology.org/2023.emnlp-main.439/
@inproceedings{yu-etal-2023-prompt, title = "Prompt-Based {M}onte-{C}arlo Tree Search for Goal-oriented Dialogue Policy Planning", author = "Yu, Xiao and Chen, Maximillian and Yu, Zhou", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of th...
Planning for goal-oriented dialogue often requires simulating future dialogue interactions and estimating task progress. Many approaches thus consider training neural networks to perform look-ahead search algorithms such as A* search and Monte Carlo Tree Search (MCTS). However, this training often require abundant anno...
[ "Yu, Xiao", "Chen, Maximillian", "Yu, Zhou" ]
Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning
emnlp-main.439
2305.13660
[ "https://github.com/jasonyux/gdpzero" ]
https://huggingface.co/papers/2305.13660
0
0
0
3
[]
[]
[]
1
Oral
https://aclanthology.org/2023.emnlp-main.440.bib
https://aclanthology.org/2023.emnlp-main.440/
@inproceedings{liang-etal-2023-unimath, title = "{U}ni{M}ath: A Foundational and Multimodal Mathematical Reasoner", author = "Liang, Zhenwen and Yang, Tianyu and Zhang, Jipeng and Zhang, Xiangliang", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle ...
While significant progress has been made in natural language processing (NLP), existing methods exhibit limitations in effectively interpreting and processing diverse mathematical modalities. Therefore, we introduce UniMath, a versatile and unified system designed for multimodal mathematical reasoning tasks. Tackling c...
[ "Liang, Zhenwen", "Yang, Tianyu", "Zhang, Jipeng", "Zhang, Xiangliang" ]
UniMath: A Foundational and Multimodal Mathematical Reasoner
emnlp-main.440
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.441.bib
https://aclanthology.org/2023.emnlp-main.441/
@inproceedings{ma-etal-2023-caseencoder, title = "{C}ase{E}ncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding", author = "Ma, Yixiao and Wu, Yueyue and Su, Weihang and Ai, Qingyao and Liu, Yiqun", editor = "Bouamor, Houda and Pino, Juan and Bali,...
Legal case retrieval is a critical process for modern legal information systems. While recent studies have utilized pre-trained language models (PLMs) based on the general domain self-supervised pre-training paradigm to build models for legal case retrieval, there are limitations in using general domain PLMs as backbon...
[ "Ma, Yixiao", "Wu, Yueyue", "Su, Weihang", "Ai, Qingyao", "Liu, Yiqun" ]
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
emnlp-main.441
2305.05393
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.442.bib
https://aclanthology.org/2023.emnlp-main.442/
@inproceedings{watson-etal-2023-hiddentables, title = "{H}idden{T}ables and {P}y{QT}ax: A Cooperative Game and Dataset For {T}able{QA} to Ensure Scale and Data Privacy Across a Myriad of Taxonomies", author = "Watson, William and Cho, Nicole and Balch, Tucker and Veloso, Manuela", edito...
A myriad of different Large Language Models (LLMs) face a common challenge in contextually analyzing table question-answering tasks. These challenges are engendered from (1) finite context windows for large tables, (2) multi-faceted discrepancies amongst tokenization patterns against cell boundaries, and (3) various li...
[ "Watson, William", "Cho, Nicole", "Balch, Tucker", "Veloso, Manuela" ]
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
emnlp-main.442
2406.10803
[ "" ]
https://huggingface.co/papers/2406.10803
1
4
1
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.443.bib
https://aclanthology.org/2023.emnlp-main.443/
@inproceedings{zhao-etal-2023-causal, title = "Causal Document-Grounded Dialogue Pre-training", author = "Zhao, Yingxiu and Yu, Bowen and Li, Bowen and Yu, Haiyang and Li, Jinyang and Wang, Chao and Huang, Fei and Li, Yongbin and Zhang, Nevin", editor ...
The goal of document-grounded dialogue (DocGD) is to generate a response by anchoring the evidence in a supporting document in accordance with the dialogue context. This entails four causally interconnected variables. While task-specific pre-training has significantly enhanced performances on numerous downstream tasks,...
[ "Zhao, Yingxiu", "Yu, Bowen", "Li, Bowen", "Yu, Haiyang", "Li, Jinyang", "Wang, Chao", "Huang, Fei", "Li, Yongbin", "Zhang, Nevin" ]
Causal Document-Grounded Dialogue Pre-training
emnlp-main.443
2305.10927
[ "https://github.com/vamsi995/paraphrase-generator" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.444.bib
https://aclanthology.org/2023.emnlp-main.444/
@inproceedings{prabhu-etal-2023-accented, title = "Accented Speech Recognition With Accent-specific Codebooks", author = "Prabhu, Darshan and Jyothi, Preethi and Ganapathy, Sriram and Unni, Vinit", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = ...
Speech accents pose a significant challenge to state-of-the-art automatic speech recognition (ASR) systems. Degradation in performance across underrepresented accents is a severe deterrent to the inclusive adoption of ASR. In this work, we propose a novel accent adaptation approach for end-to-end ASR systems using cros...
[ "Prabhu, Darshan", "Jyothi, Preethi", "Ganapathy, Sriram", "Unni, Vinit" ]
Accented Speech Recognition With Accent-specific Codebooks
emnlp-main.444
2310.15970
[ "https://github.com/csalt-research/accented-codebooks-asr" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.445.bib
https://aclanthology.org/2023.emnlp-main.445/
@inproceedings{radevski-etal-2023-linking, title = "Linking Surface Facts to Large-Scale Knowledge Graphs", author = "Radevski, Gorjan and Gashteovski, Kiril and Hung, Chia-Chien and Lawrence, Carolin and Glava{\v{s}}, Goran", editor = "Bouamor, Houda and Pino, Juan and ...
Open Information Extraction (OIE) methods extract facts from natural language text in the form of ({``}subject{''}; {``}relation{''}; {``}object{''}) triples. These facts are, however, merely surface forms, the ambiguity of which impedes their downstream usage; e.g., the surface phrase {``}Michael Jordan{''} may refer ...
[ "Radevski, Gorjan", "Gashteovski, Kiril", "Hung, Chia-Chien", "Lawrence, Carolin", "Glava{\\v{s}}, Goran" ]
Linking Surface Facts to Large-Scale Knowledge Graphs
emnlp-main.445
2310.14909
[ "https://github.com/nec-research/fact-linking" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.446.bib
https://aclanthology.org/2023.emnlp-main.446/
@inproceedings{zhang-etal-2023-sentiment-analysis, title = "Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network", author = "Zhang, Xin and Zhang, Linhai and Zhou, Deyu", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitl...
Sentiment analysis on user reviews has achieved great success thanks to the rapid growth of deep learning techniques. The large number of online streaming reviews also provides the opportunity to model temporal dynamics for users and products on the timeline. However, existing methods model users and products in the re...
[ "Zhang, Xin", "Zhang, Linhai", "Zhou, Deyu" ]
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
emnlp-main.446
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.447.bib
https://aclanthology.org/2023.emnlp-main.447/
@inproceedings{de-vries-etal-2023-dumb, title = "{DUMB}: A Benchmark for Smart Evaluation of {D}utch Models", author = "de Vries, Wietse and Wieling, Martijn and Nissim, Malvina", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 ...
We introduce the Dutch Model Benchmark: DUMB. The benchmark includes a diverse set of datasets for low-, medium- and high-resource tasks. The total set of nine tasks includes four tasks that were previously not available in Dutch. Instead of relying on a mean score across tasks, we propose Relative Error Reduction (RER...
[ "de Vries, Wietse", "Wieling, Martijn", "Nissim, Malvina" ]
DUMB: A Benchmark for Smart Evaluation of Dutch Models
emnlp-main.447
2305.13026
[ "https://github.com/wietsedv/dumb" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.448.bib
https://aclanthology.org/2023.emnlp-main.448/
@inproceedings{shi-etal-2023-osscse, title = "{O}ss{CSE}: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding", author = "Shi, Zhan and Wang, Guoyin and Bai, Ke and Li, Jiwei and Li, Xiang and Cui, Qingjun and Zeng, Belinda and...
Contrastive learning has been demonstrated effective in unsupervised sentence representation learning. Given one sentence, positive pairs are obtained by passing the sentence to the encoder twice using the different dropout masks, and negative pairs are obtained by taking another sentence in the same mini-batch. Howeve...
[ "Shi, Zhan", "Wang, Guoyin", "Bai, Ke", "Li, Jiwei", "Li, Xiang", "Cui, Qingjun", "Zeng, Belinda", "Chilimbi, Trishul", "Zhu, Xiaodan" ]
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
emnlp-main.448
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.449.bib
https://aclanthology.org/2023.emnlp-main.449/
@inproceedings{zuluaga-gomez-etal-2023-end, title = "End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation", author = "Zuluaga-Gomez, Juan Pablo and Huang, Zhaocheng and Niu, Xing and Paturi, Rohit and Srinivasan, Sundararajan and Mathur, Prashant and...
Conventional speech-to-text translation (ST) systems are trained on single-speaker utterances, and they may not generalize to real-life scenarios where the audio contains conversations by multiple speakers. In this paper, we tackle single-channel multi-speaker conversational ST with an end-to-end and multi-task trainin...
[ "Zuluaga-Gomez, Juan Pablo", "Huang, Zhaocheng", "Niu, Xing", "Paturi, Rohit", "Srinivasan, Sundararajan", "Mathur, Prashant", "Thompson, Brian", "Federico, Marcello" ]
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation
emnlp-main.449
2311.00697
[ "https://github.com/amazon-science/stac-speech-translation" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.450.bib
https://aclanthology.org/2023.emnlp-main.450/
@inproceedings{yu-etal-2023-fine, title = "A Fine-Grained Taxonomy of Replies to Hate Speech", author = "Yu, Xinchen and Zhao, Ashley and Blanco, Eduardo and Hong, Lingzi", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 ...
Countering rather than censoring hate speech has emerged as a promising strategy to address hatred. There are many types of counterspeech in user-generated content: addressing the hateful content or its author, generic requests, well-reasoned counter arguments, insults, etc. The effectiveness of counterspeech, which we...
[ "Yu, Xinchen", "Zhao, Ashley", "Blanco, Eduardo", "Hong, Lingzi" ]
A Fine-Grained Taxonomy of Replies to Hate Speech
emnlp-main.450
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.451.bib
https://aclanthology.org/2023.emnlp-main.451/
@inproceedings{zou-caragea-2023-jointmatch, title = "{J}oint{M}atch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification", author = "Zou, Henry and Caragea, Cornelia", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", book...
Semi-supervised text classification (SSTC) has gained increasing attention due to its ability to leverage unlabeled data. However, existing approaches based on pseudo-labeling suffer from the issues of pseudo-label bias and error accumulation. In this paper, we propose JointMatch, a holistic approach for SSTC that addr...
[ "Zou, Henry", "Caragea, Cornelia" ]
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
emnlp-main.451
2310.14583
[ "https://github.com/HenryPengZou/JointMatch" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.452.bib
https://aclanthology.org/2023.emnlp-main.452/
@inproceedings{mireshghallah-etal-2023-simple, title = "Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense {KNN}", author = "Mireshghallah, Niloofar and Vogler, Nikolai and He, Junxian and Florez, Omar and El-Kishky, Ahmed and Berg-Kirkpatrick, Tay...
User-generated social media data is constantly changing as new trends influence online discussion and personal information is deleted due to privacy concerns. However, traditional NLP models rely on fixed training datasets, which means they are unable to adapt to temporal change{---}both test distribution shift and del...
[ "Mireshghallah, Niloofar", "Vogler, Nikolai", "He, Junxian", "Florez, Omar", "El-Kishky, Ahmed", "Berg-Kirkpatrick, Taylor" ]
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
emnlp-main.452
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.453.bib
https://aclanthology.org/2023.emnlp-main.453/
@inproceedings{chang-etal-2023-speak, title = "Speak, Memory: An Archaeology of Books Known to {C}hat{GPT}/{GPT}-4", author = "Chang, Kent and Cramer, Mackenzie and Soni, Sandeep and Bamman, David", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle =...
In this work, we carry out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query. We find that OpenAI models have memorized a wide collection of copyrighted materials, and that the degree of memorization is tied to the frequency with which passages of those ...
[ "Chang, Kent", "Cramer, Mackenzie", "Soni, S", "eep", "Bamman, David" ]
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
emnlp-main.453
2305.00118
[ "https://github.com/bamman-group/gpt4-books" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.454.bib
https://aclanthology.org/2023.emnlp-main.454/
@inproceedings{di-marco-etal-2023-study, title = "A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts", author = {Di Marco, Marion and H{\"a}mmerl, Katharina and Fraser, Alexander}, editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika",...
We study whether linguistic information in pre-trained multilingual language models can be accessed by human language: So far, there is no easy method to directly obtain linguistic information and gain insights into the linguistic principles encoded in such models. We use the technique of prompting and formulate lingui...
[ "Di Marco, Marion", "H{\\\"a}mmerl, Katharina", "Fraser, Alex", "er" ]
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts
emnlp-main.454
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.455.bib
https://aclanthology.org/2023.emnlp-main.455/
@inproceedings{funkquist-etal-2023-citebench, title = "{C}ite{B}ench: A Benchmark for Scientific Citation Text Generation", author = "Funkquist, Martin and Kuznetsov, Ilia and Hou, Yufang and Gurevych, Iryna", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Science progresses by building upon the prior body of knowledge documented in scientific publications. The acceleration of research makes it hard to stay up-to-date with the recent developments and to summarize the ever-growing body of prior work. To address this, the task of citation text generation aims to produce ac...
[ "Funkquist, Martin", "Kuznetsov, Ilia", "Hou, Yufang", "Gurevych, Iryna" ]
CiteBench: A Benchmark for Scientific Citation Text Generation
emnlp-main.455
2212.09577
[ "https://github.com/ukplab/citebench" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.456.bib
https://aclanthology.org/2023.emnlp-main.456/
@inproceedings{zhang-etal-2023-heuristic, title = "From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning", author = "Zhang, Zheyuan and Storks, Shane and Hu, Fengyuan and Sohn, Sungryull and Lee, Moontae and Lee, Honglak and ...
Pre-trained language models (PLMs) have shown impressive performance in various language tasks. However, they are prone to spurious correlations, and often generate illusory information. In real-world applications, PLMs should justify decisions with formalized, coherent reasoning chains, but this challenge remains unde...
[ "Zhang, Zheyuan", "Storks, Shane", "Hu, Fengyuan", "Sohn, Sungryull", "Lee, Moontae", "Lee, Honglak", "Chai, Joyce" ]
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
emnlp-main.456
2310.18364
[ "https://github.com/sled-group/heuristic-analytic-reasoning" ]
https://huggingface.co/papers/2310.18364
0
0
0
7
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.457.bib
https://aclanthology.org/2023.emnlp-main.457/
@inproceedings{kudo-etal-2023-challenging, title = "A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video", author = "Kudo, Keito and Nagasawa, Haruki and Suzuki, Jun and Shimizu, Nobuyuki", editor = "Bouamor, Houda and ...
This paper proposes a practical multimodal video summarization task setting and a dataset to train and evaluate the task. The target task involves summarizing a given video into a predefined number of keyframe-caption pairs and displaying them in a listable format to grasp the video content quickly. This task aims to e...
[ "Kudo, Keito", "Nagasawa, Haruki", "Suzuki, Jun", "Shimizu, Nobuyuki" ]
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video
emnlp-main.457
2312.01575
[ "https://github.com/keitokudo/multi-vidsum" ]
https://huggingface.co/papers/2312.01575
0
0
0
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.458.bib
https://aclanthology.org/2023.emnlp-main.458/
@inproceedings{karamolegkou-etal-2023-copyright, title = "Copyright Violations and Large Language Models", author = "Karamolegkou, Antonia and Li, Jiaang and Zhou, Li and S{\o}gaard, Anders", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proce...
Language models may memorize more than just facts, including entire chunks of texts seen during training. Fair use exemptions to copyright laws typically allow for limited use of copyrighted material without permission from the copyright holder, but typically for extraction of information from copyrighted materials, ra...
[ "Karamolegkou, Antonia", "Li, Jiaang", "Zhou, Li", "S{\\o}gaard, Anders" ]
Copyright Violations and Large Language Models
emnlp-main.458
2310.13771
[ "https://github.com/coastalcph/copyrightllms" ]
https://huggingface.co/papers/2310.13771
1
0
0
4
[]
[]
[]
1
Oral
https://aclanthology.org/2023.emnlp-main.459.bib
https://aclanthology.org/2023.emnlp-main.459/
@inproceedings{hou-etal-2023-effects, title = "Effects of sub-word segmentation on performance of transformer language models", author = "Hou, Jue and Katinskaia, Anisia and Vu, Anh-Duc and Yangarber, Roman", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", b...
Language modeling is a fundamental task in natural language processing, which has been thoroughly explored with various architectures and hyperparameters. However, few studies focus on the effect of sub-word segmentation on the performance of language models (LMs). In this paper, we compare GPT and BERT models trained ...
[ "Hou, Jue", "Katinskaia, Anisia", "Vu, Anh-Duc", "Yangarber, Roman" ]
Effects of sub-word segmentation on performance of transformer language models
emnlp-main.459
2305.05480
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.460.bib
https://aclanthology.org/2023.emnlp-main.460/
@inproceedings{chiu-etal-2023-symbolic-planning, title = "Symbolic Planning and Code Generation for Grounded Dialogue", author = "Chiu, Justin and Zhao, Wenting and Chen, Derek and Vaduguru, Saujas and Rush, Alexander and Fried, Daniel", editor = "Bouamor, Houda and ...
Large language models (LLMs) excel at processing and generating text and code. However, LLMs have had limited applicability in grounded task-oriented dialogue as they are difficult to steer toward task objectives and fail to handle novel grounding. We present a modular and interpretable grounded dialogue system that ad...
[ "Chiu, Justin", "Zhao, Wenting", "Chen, Derek", "Vaduguru, Saujas", "Rush, Alex", "er", "Fried, Daniel" ]
Symbolic Planning and Code Generation for Grounded Dialogue
emnlp-main.460
2310.17140
[ "https://github.com/justinchiu/onecommon-gpt" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.461.bib
https://aclanthology.org/2023.emnlp-main.461/
@inproceedings{wan-etal-2023-universal, title = "Universal Self-Adaptive Prompting", author = "Wan, Xingchen and Sun, Ruoxi and Nakhost, Hootan and Dai, Hanjun and Eisenschlos, Julian and Arik, Sercan and Pfister, Tomas", editor = "Bouamor, Houda and Pino, Ju...
A hallmark of modern large language models (LLMs) is their impressive general zero-shot and few-shot abilities, often elicited through in-context learning (ICL) via prompting. However, while highly coveted and being the most general, zero-shot performances in LLMs are still typically weaker due to the lack of guidance ...
[ "Wan, Xingchen", "Sun, Ruoxi", "Nakhost, Hootan", "Dai, Hanjun", "Eisenschlos, Julian", "Arik, Sercan", "Pfister, Tomas" ]
Universal Self-Adaptive Prompting
emnlp-main.461
2305.14926
[ "" ]
https://huggingface.co/papers/2305.14926
0
0
0
7
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.462.bib
https://aclanthology.org/2023.emnlp-main.462/
@inproceedings{badel-etal-2023-somali, title = "{S}omali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources", author = "Badel, Abdisalam and Zhong, Ting and Tai, Wenxin and Zhou, Fan", editor = "Bouamor, Houda and Pino, Juan ...
Despite the growing use of the Somali language in various online domains, research on Somali language information retrieval remains limited and primarily relies on query translation due to the lack of a dedicated corpus. To address this problem, we collaborated with language experts and natural language processing (NLP...
[ "Badel, Abdisalam", "Zhong, Ting", "Tai, Wenxin", "Zhou, Fan" ]
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources
emnlp-main.462
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.463.bib
https://aclanthology.org/2023.emnlp-main.463/
@inproceedings{zhu-etal-2023-beat, title = "Beat {LLM}s at Their Own Game: Zero-Shot {LLM}-Generated Text Detection via Querying {C}hat{GPT}", author = "Zhu, Biru and Yuan, Lifan and Cui, Ganqu and Chen, Yangyi and Fu, Chong and He, Bingxiang and Deng, Yangdong and ...
Large language models (LLMs), e.g., ChatGPT, have revolutionized the domain of natural language processing because of their excellent performance on various tasks. Despite their great potential, LLMs also incur serious concerns as they are likely to be misused. There are already reported cases of academic cheating by u...
[ "Zhu, Biru", "Yuan, Lifan", "Cui, Ganqu", "Chen, Yangyi", "Fu, Chong", "He, Bingxiang", "Deng, Yangdong", "Liu, Zhiyuan", "Sun, Maosong", "Gu, Ming" ]
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
emnlp-main.463
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.464.bib
https://aclanthology.org/2023.emnlp-main.464/
@inproceedings{hu-etal-2023-faithful, title = "Faithful Model Evaluation for Model-Based Metrics", author = "Hu, Qian and Goyal, Palash and Gupta, Rahul", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on Empirical M...
Statistical significance testing is used in natural language processing (NLP) to determine whether the results of a study or experiment are likely to be due to chance or if they reflect a genuine relationship. A key step in significance testing is the estimation of confidence interval which is a function of sample vari...
[ "Hu, Qian", "Goyal, Palash", "Gupta, Rahul" ]
Faithful Model Evaluation for Model-Based Metrics
emnlp-main.464
2312.17254
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.465.bib
https://aclanthology.org/2023.emnlp-main.465/
@inproceedings{zhang-etal-2023-content, title = "Content- and Topology-Aware Representation Learning for Scientific Multi-Literature", author = "Zhang, Kai and Song, Kaisong and Kang, Yangyang and Liu, Xiaozhong", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Representation learning forms an essential building block in the development of natural language processing architectures. To date, mainstream approaches focus on learning textual information at the sentence- or document-level, unfortunately, overlooking the inter-document connections. This omission decreases the poten...
[ "Zhang, Kai", "Song, Kaisong", "Kang, Yangyang", "Liu, Xiaozhong" ]
Content- and Topology-Aware Representation Learning for Scientific Multi-Literature
emnlp-main.465
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.466.bib
https://aclanthology.org/2023.emnlp-main.466/
@inproceedings{wilcox-etal-2023-language, title = "Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages", author = "Wilcox, Ethan and Meister, Clara and Cotterell, Ryan and Pimentel, Tiago", editor = "Bouamor, Houda and Pino, Juan and ...
Surprisal theory (Hale, 2001; Levy, 2008) posits that a word{'}s reading time is proportional to its surprisal (i.e., to its negative log probability given the proceeding context). Since we are unable to access a word{'}s ground-truth probability, surprisal theory has been empirically tested using surprisal estimates f...
[ "Wilcox, Ethan", "Meister, Clara", "Cotterell, Ryan", "Pimentel, Tiago" ]
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages
emnlp-main.466
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.467.bib
https://aclanthology.org/2023.emnlp-main.467/
@inproceedings{yan-etal-2023-joint, title = "Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks", author = "Yan, Zhaohui and Yang, Songlin and Liu, Wei and Tu, Kewei", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktit...
Entity and Relation Extraction (ERE) is an important task in information extraction. Recent marker-based pipeline models achieve state-of-the-art performance, but still suffer from the error propagation issue. Also, most of current ERE models do not take into account higher-order interactions between multiple entities ...
[ "Yan, Zhaohui", "Yang, Songlin", "Liu, Wei", "Tu, Kewei" ]
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
emnlp-main.467
2310.17238
[ "https://github.com/yanzhh/hgere" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.468.bib
https://aclanthology.org/2023.emnlp-main.468/
@inproceedings{arora-etal-2023-llms, title = "Have {LLM}s Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models", author = "Arora, Daman and Singh, Himanshu and {Mausam}", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Pro...
The performance of large language models (LLMs) on existing reasoning benchmarks has significantly improved over the past years. In response, we present JEEBench, a considerably more challenging benchmark dataset for evaluating the problem solving abilities of LLMs. We curate 515 challenging pre-engineering mathematics...
[ "Arora, Daman", "Singh, Himanshu", "{Mausam}" ]
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
emnlp-main.468
null
[ "https://github.com/hgaurav2k/jeebench" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.469.bib
https://aclanthology.org/2023.emnlp-main.469/
@inproceedings{opper-etal-2023-strae, title = "{S}tr{AE}: Autoencoding for Pre-Trained Embeddings using Explicit Structure", author = "Opper, Mattia and Prokhorov, Victor and N, Siddharth", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of...
This work presents StrAE: a Structured Autoencoder framework that through strict adherence to explicit structure, and use of a novel contrastive objective over tree-structured representations, enables effective learning of multi-level representations. Through comparison over different forms of structure, we verify that...
[ "Opper, Mattia", "Prokhorov, Victor", "N, Siddharth" ]
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
emnlp-main.469
2305.05588
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.470.bib
https://aclanthology.org/2023.emnlp-main.470/
@inproceedings{kamoi-etal-2023-wice, title = "{W}i{CE}: Real-World Entailment for Claims in {W}ikipedia", author = "Kamoi, Ryo and Goyal, Tanya and Diego Rodriguez, Juan and Durrett, Greg", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceed...
Textual entailment models are increasingly applied in settings like fact-checking, presupposition verification in question answering, or summary evaluation. However, these represent a significant domain shift from existing entailment datasets, and models underperform as a result. We propose WiCE, a new fine-grained tex...
[ "Kamoi, Ryo", "Goyal, Tanya", "Diego Rodriguez, Juan", "Durrett, Greg" ]
WiCE: Real-World Entailment for Claims in Wikipedia
emnlp-main.470
2303.01432
[ "https://github.com/ryokamoi/wice" ]
https://huggingface.co/papers/2303.01432
1
1
0
4
[]
[ "jon-tow/wice" ]
[]
1
Oral
https://aclanthology.org/2023.emnlp-main.471.bib
https://aclanthology.org/2023.emnlp-main.471/
@inproceedings{basit-etal-2023-natural, title = "Natural Disaster Tweets Classification Using Multimodal Data", author = "Basit, Mohammad and Alam, Bashir and Fatima, Zubaida and Shaikh, Salman", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "P...
Social media platforms are extensively used for expressing opinions or conveying information. The information available on such platforms can be used for various humanitarian and disaster-related tasks as distributing messages in different formats through social media is quick and easy. Often this useful information du...
[ "Basit, Mohammad", "Alam, Bashir", "Fatima, Zubaida", "Shaikh, Salman" ]
Natural Disaster Tweets Classification Using Multimodal Data
emnlp-main.471
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.472.bib
https://aclanthology.org/2023.emnlp-main.472/
@inproceedings{pozzobon-etal-2023-challenges, title = "On the Challenges of Using Black-Box {API}s for Toxicity Evaluation in Research", author = "Pozzobon, Luiza and Ermis, Beyza and Lewis, Patrick and Hooker, Sara", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalik...
Perception of toxicity evolves over time and often differs between geographies and cultural backgrounds. Similarly, black-box commercially available APIs for detecting toxicity, such as the Perspective API, are not static, but frequently retrained to address any unattended weaknesses and biases. We evaluate the implica...
[ "Pozzobon, Luiza", "Ermis, Beyza", "Lewis, Patrick", "Hooker, Sara" ]
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
emnlp-main.472
2304.12397
[ "https://github.com/for-ai/black-box-api-challenges" ]
https://huggingface.co/papers/2304.12397
2
0
0
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.473.bib
https://aclanthology.org/2023.emnlp-main.473/
@inproceedings{dinu-etal-2023-robocop, title = "{R}o{B}o{C}o{P}: A Comprehensive {RO}mance {BO}rrowing {CO}gnate Package and Benchmark for Multilingual Cognate Identification", author = "Dinu, Liviu and Uban, Ana and Cristea, Alina and Dinu, Anca and Iordache, Ioan-Bogdan and ...
The identification of cognates is a fundamental process in historical linguistics, on which any further research is based. Even though there are several cognate databases for Romance languages, they are rather scattered, incomplete, noisy, contain unreliable information, or have uncertain availability. In this paper we...
[ "Dinu, Liviu", "Uban, Ana", "Cristea, Alina", "Dinu, Anca", "Iordache, Ioan-Bogdan", "Georgescu, Simona", "Zoicas, Laurentiu" ]
RoBoCoP: A Comprehensive ROmance BOrrowing COgnate Package and Benchmark for Multilingual Cognate Identification
emnlp-main.473
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.474.bib
https://aclanthology.org/2023.emnlp-main.474/
@inproceedings{wang-etal-2023-instructive, title = "Instructive Dialogue Summarization with Query Aggregations", author = "Wang, Bin and Liu, Zhengyuan and Chen, Nancy", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference...
Conventional dialogue summarization methods directly generate summaries and do not consider user{'}s specific interests. This poses challenges in cases where the users are more focused on particular topics or aspects. With the advancement of instruction-finetuned language models, we introduce instruction-tuning to dial...
[ "Wang, Bin", "Liu, Zhengyuan", "Chen, Nancy" ]
Instructive Dialogue Summarization with Query Aggregations
emnlp-main.474
2310.10981
[ "https://github.com/BinWang28/InstructDS" ]
https://huggingface.co/papers/2310.10981
1
0
0
3
[ "binwang/InstructDS" ]
[ "binwang/DialogSum_with_speaker" ]
[]
1
Oral
https://aclanthology.org/2023.emnlp-main.475.bib
https://aclanthology.org/2023.emnlp-main.475/
@inproceedings{de-silva-etal-2023-semantic, title = "Semantic matching for text classification with complex class descriptions", author = "De Silva, Brian and Huang, Kuan-Wen and Lee, Gwang and Hovsepian, Karen and Xu, Yan and Shen, Mingwei", editor = "Bouamor, Houda and ...
Text classifiers are an indispensable tool for machine learning practitioners, but adapting them to new classes is expensive. To reduce the cost of new classes, previous work exploits class descriptions and/or labels from existing classes. However, these approaches leave a gap in the model development cycle as they sup...
[ "De Silva, Brian", "Huang, Kuan-Wen", "Lee, Gwang", "Hovsepian, Karen", "Xu, Yan", "Shen, Mingwei" ]
Semantic matching for text classification with complex class descriptions
emnlp-main.475
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.476.bib
https://aclanthology.org/2023.emnlp-main.476/
@inproceedings{gu-etal-2023-madnet, title = "{MADN}et: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation", author = "Gu, Jia-Chen and Tan, Chao-Hong and Chu, Caiyuan and Ling, Zhen-Hua and Tao, Chongyang and Liu, Quan and Liu, Cong", ...
Modeling multi-party conversations (MPCs) with graph neural networks has been proven effective at capturing complicated and graphical information flows. However, existing methods rely heavily on the necessary addressee labels and can only be applied to an ideal setting where each utterance must be tagged with an {``}@{...
[ "Gu, Jia-Chen", "Tan, Chao-Hong", "Chu, Caiyuan", "Ling, Zhen-Hua", "Tao, Chongyang", "Liu, Quan", "Liu, Cong" ]
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
emnlp-main.476
2305.12733
[ "https://github.com/lxchtan/hetermpc" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.477.bib
https://aclanthology.org/2023.emnlp-main.477/
@inproceedings{lee-etal-2023-glen, title = "{GLEN}: Generative Retrieval via Lexical Index Learning", author = "Lee, Sunkyung and Choi, Minjin and Lee, Jongwuk", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on Empi...
Generative retrieval shed light on a new paradigm of document retrieval, aiming to directly generate the identifier of a relevant document for a query. While it takes advantage of bypassing the construction of auxiliary index structures, existing studies face two significant challenges: (i) the discrepancy between the ...
[ "Lee, Sunkyung", "Choi, Minjin", "Lee, Jongwuk" ]
GLEN: Generative Retrieval via Lexical Index Learning
emnlp-main.477
2311.03057
[ "https://github.com/skleee/GLEN" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.478.bib
https://aclanthology.org/2023.emnlp-main.478/
@inproceedings{zhang-etal-2023-turn, title = "Turn-Level Active Learning for Dialogue State Tracking", author = "Zhang, Zihan and Fang, Meng and Ye, Fanghua and Chen, Ling and Namazi-Rad, Mohammad-Reza", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", ...
Dialogue state tracking (DST) plays an important role in task-oriented dialogue systems. However, collecting a large amount of turn-by-turn annotated dialogue data is costly and inefficient. In this paper, we propose a novel turn-level active learning framework for DST to actively select turns in dialogues to annotate....
[ "Zhang, Zihan", "Fang, Meng", "Ye, Fanghua", "Chen, Ling", "Namazi-Rad, Mohammad-Reza" ]
Turn-Level Active Learning for Dialogue State Tracking
emnlp-main.478
2310.14513
[ "https://github.com/hyintell/al-dst" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.479.bib
https://aclanthology.org/2023.emnlp-main.479/
@inproceedings{tu-etal-2023-resee, title = "{R}e{S}ee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue", author = "Tu, Haoqin and Li, Yitong and Mi, Fei and Yang, Zhongliang", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", bo...
Incorporating visual knowledge into text-only dialogue systems has become a potential direction to imitate the way humans think, imagine, and communicate. However, existing multimodal dialogue systems are either confined by the scale and quality of available datasets or the coarse concept of visual knowledge. To addres...
[ "Tu, Haoqin", "Li, Yitong", "Mi, Fei", "Yang, Zhongliang" ]
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue
emnlp-main.479
2305.13602
[ "https://github.com/imkett/resee" ]
https://huggingface.co/papers/2305.13602
1
1
0
4
[]
[ "PahaII/ReSee_data" ]
[]
1
Oral
https://aclanthology.org/2023.emnlp-main.480.bib
https://aclanthology.org/2023.emnlp-main.480/
@inproceedings{tian-etal-2023-modeling, title = "Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection", author = "Tian, Yuan and Xu, Nan and Mao, Wenji and Zeng, Daniel", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", bookt...
Metaphor detection is an important and challenging task in natural language processing, which aims to distinguish between metaphorical and literal expressions in text. Previous studies mainly leverage the incongruity of source and target domains and contextual clues for detection, neglecting similar attributes shared b...
[ "Tian, Yuan", "Xu, Nan", "Mao, Wenji", "Zeng, Daniel" ]
Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection
emnlp-main.480
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.481.bib
https://aclanthology.org/2023.emnlp-main.481/
@inproceedings{huang-satoh-2023-referring, title = "Referring Image Segmentation via Joint Mask Contextual Embedding Learning and Progressive Alignment Network", author = "Huang, Ziling and Satoh, Shin{'}ichi", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "...
Referring image segmentation is a task that aims to predict pixel-wise masks corresponding to objects in an image described by natural language expressions. Previous methods for referring image segmentation employ a cascade framework to break down complex problems into multiple stages. However, its defects also obvious...
[ "Huang, Ziling", "Satoh, Shin{'}ichi" ]
Referring Image Segmentation via Joint Mask Contextual Embedding Learning and Progressive Alignment Network
emnlp-main.481
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.482.bib
https://aclanthology.org/2023.emnlp-main.482/
@inproceedings{wang-etal-2023-shall, title = "Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study", author = "Wang, Boxin and Ping, Wei and Xu, Peng and McAfee, Lawrence and Liu, Zihan and Shoeybi, Mohammad and Dong, Yi and Kuch...
Large decoder-only language models (LMs) can be largely improved in terms of perplexity by retrieval (e.g., RETRO), but its impact on text generation quality and downstream task accuracy is unclear. Thus, it is still an open question: shall we pretrain large autoregressive LMs with retrieval? To answer it, we perform a...
[ "Wang, Boxin", "Ping, Wei", "Xu, Peng", "McAfee, Lawrence", "Liu, Zihan", "Shoeybi, Mohammad", "Dong, Yi", "Kuchaiev, Oleksii", "Li, Bo", "Xiao, Chaowei", "An", "kumar, Anima", "Catanzaro, Bryan" ]
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
emnlp-main.482
2304.06762
[ "https://github.com/NVIDIA/Megatron-LM" ]
https://huggingface.co/papers/2304.06762
2
1
0
12
[ "nvidia/retro-48b-instruct-4k", "nvidia/retro-8b-instruct-4k" ]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.483.bib
https://aclanthology.org/2023.emnlp-main.483/
@inproceedings{lu-etal-2023-scitab, title = "{SCITAB}: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables", author = "Lu, Xinyuan and Pan, Liangming and Liu, Qian and Nakov, Preslav and Kan, Min-Yen", editor = "Bouamor, Houda and ...
Current scientific fact-checking benchmarks exhibit several shortcomings, such as biases arising from crowd-sourced claims and an over-reliance on text-based evidence. We present SCITAB, a challenging evaluation dataset consisting of 1.2K expert-verified scientific claims that 1) originate from authentic scientific pub...
[ "Lu, Xinyuan", "Pan, Liangming", "Liu, Qian", "Nakov, Preslav", "Kan, Min-Yen" ]
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
emnlp-main.483
2305.13186
[ "https://github.com/xinyuanlu00/scitab" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.484.bib
https://aclanthology.org/2023.emnlp-main.484/
@inproceedings{zhang-etal-2023-training, title = "Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy", author = "Zhang, Linlin and Fan, Kai and Bu, Jiajun and Huang, Zhongqiang", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika",...
Simultaneous Speech Translation (SimulST) is a task focused on ensuring high-quality translation of speech in low-latency situations. Despite this, the modality gap (\textit{e.g.}, unknown word boundaries) between audio and text presents a challenge. This gap hinders the effective application of policies from simultane...
[ "Zhang, Linlin", "Fan, Kai", "Bu, Jiajun", "Huang, Zhongqiang" ]
Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy
emnlp-main.484
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.485.bib
https://aclanthology.org/2023.emnlp-main.485/
@inproceedings{fu-etal-2023-scene, title = "{SCENE}: Self-Labeled Counterfactuals for Extrapolating to Negative Examples", author = "Fu, Deqing and Godbole, Ameya and Jia, Robin", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 ...
Detecting negatives (such as non-entailment relationships, unanswerable questions, and false claims) is an important and challenging aspect of many natural language understanding tasks. Though manually collecting challenging negative examples can help models detect them, it is both costly and domain-specific. In this w...
[ "Fu, Deqing", "Godbole, Ameya", "Jia, Robin" ]
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
emnlp-main.485
2305.07984
[ "https://github.com/deqingfu/scene" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.486.bib
https://aclanthology.org/2023.emnlp-main.486/
@inproceedings{zhu-etal-2023-enhancing, title = "Enhancing Code-Switching for Cross-lingual {SLU}: A Unified View of Semantic and Grammatical Coherence", author = "Zhu, Zhihong and Cheng, Xuxin and Huang, Zhiqi and Chen, Dongsheng and Zou, Yuexian", editor = "Bouamor, Houda and ...
Despite the success of spoken language understanding (SLU) in high-resource languages, achieving similar performance in low-resource settings, such as zero-shot scenarios, remains challenging due to limited labeled training data. To improve zero-shot cross-lingual SLU, recent studies have explored code-switched sentenc...
[ "Zhu, Zhihong", "Cheng, Xuxin", "Huang, Zhiqi", "Chen, Dongsheng", "Zou, Yuexian" ]
Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence
emnlp-main.486
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.487.bib
https://aclanthology.org/2023.emnlp-main.487/
@inproceedings{xiao-etal-2023-task, title = "Task-Agnostic Low-Rank Adapters for Unseen {E}nglish Dialects", author = "Xiao, Zedian and Held, William and Liu, Yanchen and Yang, Diyi", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings o...
Large Language Models (LLMs) are trained on corpora disproportionally weighted in favor of Standard American English. As a result, speakers of other dialects experience significantly more failures when interacting with these technologies. In practice, these speakers often accommodate their speech to be better understoo...
[ "Xiao, Zedian", "Held, William", "Liu, Yanchen", "Yang, Diyi" ]
Task-Agnostic Low-Rank Adapters for Unseen English Dialects
emnlp-main.487
2311.00915
[ "https://github.com/zedian/hyperlora" ]
https://huggingface.co/papers/2311.00915
2
1
0
4
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.488.bib
https://aclanthology.org/2023.emnlp-main.488/
@inproceedings{che-etal-2023-federated, title = "Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization", author = "Che, Tianshi and Liu, Ji and Zhou, Yang and Ren, Jiaxiang and Zhou, Jiwen and Sheng, Victor and Dai,...
Federated learning (FL) is a promising paradigm to enable collaborative model training with decentralized data. However, the training process of Large Language Models (LLMs) generally incurs the update of significant parameters, which limits the applicability of FL techniques to tackle the LLMs in real scenarios. Promp...
[ "Che, Tianshi", "Liu, Ji", "Zhou, Yang", "Ren, Jiaxiang", "Zhou, Jiwen", "Sheng, Victor", "Dai, Huaiyu", "Dou, Dejing" ]
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
emnlp-main.488
2310.15080
[ "https://github.com/llm-eff/fedpeptao" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.489.bib
https://aclanthology.org/2023.emnlp-main.489/
@inproceedings{chen-etal-2023-theoremqa, title = "{T}heorem{QA}: A Theorem-driven Question Answering Dataset", author = "Chen, Wenhu and Yin, Ming and Ku, Max and Lu, Pan and Wan, Yixin and Ma, Xueguang and Xu, Jianyu and Wang, Xinyi and Xia, Tony", ed...
The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in solving fundamental math problems like GSM8K by achieving over 90{\%} accuracy. However, their capabilities to solve more challenging math problems which require domain-specific knowledge (i.e. theorem) have yet to be investigated. In this paper, we...
[ "Chen, Wenhu", "Yin, Ming", "Ku, Max", "Lu, Pan", "Wan, Yixin", "Ma, Xueguang", "Xu, Jianyu", "Wang, Xinyi", "Xia, Tony" ]
TheoremQA: A Theorem-driven Question Answering Dataset
emnlp-main.489
2305.12524
[ "https://github.com/wenhuchen/theoremqa" ]
https://huggingface.co/papers/2305.12524
3
1
0
9
[]
[ "TIGER-Lab/TheoremQA" ]
[ "TIGER-Lab/Science-Leaderboard" ]
1
Poster
https://aclanthology.org/2023.emnlp-main.490.bib
https://aclanthology.org/2023.emnlp-main.490/
@inproceedings{su-etal-2023-scalable, title = "Scalable-{DSC}: A Structural Template Prompt Approach to Scalable Dialogue State Correction", author = "Su, Haoxiang and Xie, Hongyan and Huang, Hao and Song, Shuangyong and Fang, Ruiyu and Huang, Xiaomeng and Feng, Sijie",...
Dialogue state error correction has recently been proposed to correct wrong slot values in predicted dialogue states, thereby mitigating the error propagation problem for dialogue state tracking (DST). These approaches, though effective, are heavily intertwined with specific DST models, limiting their applicability to ...
[ "Su, Haoxiang", "Xie, Hongyan", "Huang, Hao", "Song, Shuangyong", "Fang, Ruiyu", "Huang, Xiaomeng", "Feng, Sijie" ]
Scalable-DSC: A Structural Template Prompt Approach to Scalable Dialogue State Correction
emnlp-main.490
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.491.bib
https://aclanthology.org/2023.emnlp-main.491/
@inproceedings{zhang-etal-2023-dont, title = "Don{'}t Trust {C}hat{GPT} when your Question is not in {E}nglish: A Study of Multilingual Abilities and Types of {LLM}s", author = "Zhang, Xiang and Li, Senyu and Hauer, Bradley and Shi, Ning and Kondrak, Grzegorz", editor = "Bouamor,...
Large language models (LLMs) have demonstrated exceptional natural language understanding abilities, and have excelled in a variety of natural language processing (NLP) tasks. Despite the fact that most LLMs are trained predominantly on English, multiple studies have demonstrated their capabilities in a variety of lang...
[ "Zhang, Xiang", "Li, Senyu", "Hauer, Bradley", "Shi, Ning", "Kondrak, Grzegorz" ]
Don't Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
emnlp-main.491
2305.16339
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.492.bib
https://aclanthology.org/2023.emnlp-main.492/
@inproceedings{wang-etal-2023-m3seg, title = "{M}$^3${S}eg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in {ASR} Transcripts", author = "Wang, Ke and Zhao, Xiutian and Li, Yanghui and Peng, Wei", editor = "Bouamor, Houda and Pino, Juan and ...
Topic segmentation aims to detect topic boundaries and split automatic speech recognition transcriptions (e.g., meeting transcripts) into segments that are bounded by thematic meanings. In this work, we propose M$^3$Seg, a novel Maximum-Minimum Mutual information paradigm for linear topic segmentation without using any...
[ "Wang, Ke", "Zhao, Xiutian", "Li, Yanghui", "Peng, Wei" ]
M^3Seg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts
emnlp-main.492
null
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.493.bib
https://aclanthology.org/2023.emnlp-main.493/
@inproceedings{xie-etal-2023-empirical, title = "Empirical Study of Zero-Shot {NER} with {C}hat{GPT}", author = "Xie, Tingyu and Li, Qi and Zhang, Jian and Zhang, Yan and Liu, Zuozhu and Wang, Hongwei", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika...
Large language models (LLMs) exhibited powerful capability in various natural language processing tasks. This work focuses on exploring LLM performance on zero-shot information extraction, with a focus on the ChatGPT and named entity recognition (NER) task. Inspired by the remarkable reasoning capability of LLM on symb...
[ "Xie, Tingyu", "Li, Qi", "Zhang, Jian", "Zhang, Yan", "Liu, Zuozhu", "Wang, Hongwei" ]
Empirical Study of Zero-Shot NER with ChatGPT
emnlp-main.493
2310.10035
[ "https://github.com/emma1066/zero-shot-ner-with-chatgpt" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.494.bib
https://aclanthology.org/2023.emnlp-main.494/
@inproceedings{pryzant-etal-2023-automatic, title = "Automatic Prompt Optimization with {``}Gradient Descent{''} and Beam Search", author = "Pryzant, Reid and Iter, Dan and Li, Jerry and Lee, Yin and Zhu, Chenguang and Zeng, Michael", editor = "Bouamor, Houda and Pi...
Large Language Models (LLMs) have shown impressive performance as general purpose agents, but their abilities remain highly dependent on prompts which are hand written with onerous trial-and-error effort. We propose a simple and nonparametric solution to this problem, Prompt Optimization with Textual Gradients (ProTeGi...
[ "Pryzant, Reid", "Iter, Dan", "Li, Jerry", "Lee, Yin", "Zhu, Chenguang", "Zeng, Michael" ]
Automatic Prompt Optimization with “Gradient Descent” and Beam Search
emnlp-main.494
2305.03495
[ "https://github.com/microsoft/lmops" ]
https://huggingface.co/papers/2305.03495
0
1
0
6
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.495.bib
https://aclanthology.org/2023.emnlp-main.495/
@inproceedings{jiang-etal-2023-active, title = "Active Retrieval Augmented Generation", author = "Jiang, Zhengbao and Xu, Frank and Gao, Luyu and Sun, Zhiqing and Liu, Qian and Dwivedi-Yu, Jane and Yang, Yiming and Callan, Jamie and Neubig, Graham", ed...
Despite the remarkable ability of large language models (LMs) to comprehend and generate language, they have a tendency to hallucinate and create factually inaccurate output. Augmenting LMs by retrieving information from external knowledge resources is one promising solution. Most existing retrieval augmented LMs emplo...
[ "Jiang, Zhengbao", "Xu, Frank", "Gao, Luyu", "Sun, Zhiqing", "Liu, Qian", "Dwivedi-Yu, Jane", "Yang, Yiming", "Callan, Jamie", "Neubig, Graham" ]
Active Retrieval Augmented Generation
emnlp-main.495
2406.12534
[ "https://github.com/jzbjyb/flare" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.496.bib
https://aclanthology.org/2023.emnlp-main.496/
@inproceedings{bhatia-shwartz-2023-gd, title = "{GD}-{COMET}: A Geo-Diverse Commonsense Inference Model", author = "Bhatia, Mehar and Shwartz, Vered", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on Empirical Methods in N...
With the increasing integration of AI into everyday life, it{'}s becoming crucial to design AI systems to serve users from diverse backgrounds by making them culturally aware. In this paper, we present GD-COMET, a geo-diverse version of the COMET commonsense inference model. GD-COMET goes beyond Western commonsense kno...
[ "Bhatia, Mehar", "Shwartz, Vered" ]
GD-COMET: A Geo-Diverse Commonsense Inference Model
emnlp-main.496
2310.15383
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Oral
https://aclanthology.org/2023.emnlp-main.497.bib
https://aclanthology.org/2023.emnlp-main.497/
@inproceedings{yang-etal-2023-multi-level, title = "Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation", author = "Yang, Chenxu and Lin, Zheng and Wang, Lanrui and Tian, Chong and Pang, Liang and Li, Jiangnan and Ho, Qirong a...
Knowledge-grounded dialogue generation aims to mitigate the issue of text degeneration by incorporating external knowledge to supplement the context. However, the model often fails to internalize this information into responses in a human-like manner. Instead, it simply inserts segments of the provided knowledge into g...
[ "Yang, Chenxu", "Lin, Zheng", "Wang, Lanrui", "Tian, Chong", "Pang, Liang", "Li, Jiangnan", "Ho, Qirong", "Cao, Yanan", "Wang, Weiping" ]
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
emnlp-main.497
2310.08943
[ "" ]
https://huggingface.co/papers/2310.08943
0
0
0
9
[]
[]
[]
1
Poster
https://aclanthology.org/2023.emnlp-main.498.bib
https://aclanthology.org/2023.emnlp-main.498/
@inproceedings{goldsack-etal-2023-enhancing, title = "Enhancing Biomedical Lay Summarisation with External Knowledge Graphs", author = "Goldsack, Tomas and Zhang, Zhihao and Tang, Chen and Scarton, Carolina and Lin, Chenghua", editor = "Bouamor, Houda and Pino, Juan and ...
Previous approaches for automatic lay summarisation are exclusively reliant on the source article that, given it is written for a technical audience (e.g., researchers), is unlikely to explicitly define all technical concepts or state all of the background information that is relevant for a lay audience. We address thi...
[ "Goldsack, Tomas", "Zhang, Zhihao", "Tang, Chen", "Scarton, Carolina", "Lin, Chenghua" ]
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
emnlp-main.498
2310.15702
[ "https://github.com/tgoldsack1/enhancing_biomedical_lay_summarisation_with_external_knowledge_graphs" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.499.bib
https://aclanthology.org/2023.emnlp-main.499/
@inproceedings{shi-etal-2023-diffusion, title = "A Diffusion Weighted Graph Framework for New Intent Discovery", author = "Shi, Wenkai and An, Wenbin and Tian, Feng and Zheng, Qinghua and Wang, QianYing and Chen, Ping", editor = "Bouamor, Houda and Pino, Juan and ...
New Intent Discovery (NID) aims to recognize both new and known intents from unlabeled data with the aid of limited labeled data containing only known intents. Without considering structure relationships between samples, previous methods generate noisy supervisory signals which cannot strike a balance between quantity ...
[ "Shi, Wenkai", "An, Wenbin", "Tian, Feng", "Zheng, Qinghua", "Wang, QianYing", "Chen, Ping" ]
A Diffusion Weighted Graph Framework for New Intent Discovery
emnlp-main.499
2310.15836
[ "https://github.com/yibai-shi/dwgf" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster
https://aclanthology.org/2023.emnlp-main.500.bib
https://aclanthology.org/2023.emnlp-main.500/
@inproceedings{nguyen-etal-2023-self, title = "A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection", author = "Nguyen, Thi-Nhung and Ngo, Hoang and Nguyen, Kiem-Hieu and Cao, Tuan-Dung", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika...
Our work addresses the problem of unsupervised Aspect Category Detection using a small set of seed words. Recent works have focused on learning embedding spaces for seed words and sentences to establish similarities between sentences and aspects. However, aspect representations are limited by the quality of initial see...
[ "Nguyen, Thi-Nhung", "Ngo, Hoang", "Nguyen, Kiem-Hieu", "Cao, Tuan-Dung" ]
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
emnlp-main.500
2311.09708
[ "" ]
-1
-1
-1
-1
[]
[]
[]
0
Poster